AI / MLMay - June 2026
Outlet Intelligence
A statistical pipeline estimates the true monthly purchase potential of each beverage outlet, even when recorded sales are capped by supply limits. A web platform then helps sales managers optimize trade spend, spot outlets at risk of going dormant, rank cooler placements and get AI explanations for any outlet.
PythonXGBoostSHAPGeminiFastAPINext.js
About the project
Outlet Intelligence is an end-to-end decision-support system for beverage sales teams. Recorded sales are capped by credit limits, stockouts, cooler capacity and delivery limits, so a statistical pipeline first estimates the true monthly purchase potential of each outlet. A web platform then lets sales managers browse outlets, plan trade spend and ask AI to explain any outlet.
Key features
- Demand EstimationFive-method statistical ensemble for censored sales data
- Budget OptimizerAllocates trade spend across discount, merchandising and promotional channels
- AI ExplanationsSHAP attribution and what-if scenarios explained in plain language
- Dormancy-Risk PredictionEarly-warning classifier with a cross-validated AUC of about 0.88
- Cooler ROI RankingFinds where a new cooler pays back the most
- Interactive Web AppOutlet browser, insights workspace and shop map